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Stability based methods for model order selection in clustering problems (Valentini, G (2007), <doi:10.1093/bioinformatics/btl600>). Using multiple perturbations of the data the stability of clustering solutions is assessed. Different perturbations may be used: resampling techniques, random projections and noise injection. Stability measures for the estimate of clustering solutions and statistical tests to assess their significance are provided.
| Version: | 1.0.2 |
| Imports: | stats, graphics, cluster, clusterv |
| Published: | 2025-05-27 |
| DOI: | 10.32614/CRAN.package.mosclust |
| Author: | Giorgio Valentini [aut], Jessica Gliozzo [cre] |
| Maintainer: | Jessica Gliozzo <jessica.gliozzo at unimi.it> |
| BugReports: | https://github.com/AnacletoLAB/mosclust/issues |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| URL: | https://valentini.di.unimi.it/SW/mosclust/ |
| NeedsCompilation: | no |
| Citation: | mosclust citation info |
| CRAN checks: | mosclust results |
| Reference manual: | mosclust.pdf |
| Package source: | mosclust_1.0.2.tar.gz |
| Windows binaries: | r-devel: mosclust_1.0.2.zip, r-release: mosclust_1.0.2.zip, r-oldrel: mosclust_1.0.2.zip |
| macOS binaries: | r-release (arm64): mosclust_1.0.2.tgz, r-oldrel (arm64): mosclust_1.0.2.tgz, r-release (x86_64): mosclust_1.0.2.tgz, r-oldrel (x86_64): mosclust_1.0.2.tgz |
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